I have a shape file, uploaded at the following path:
https://drive.google.com/open?id=0B1ITb_7lHh1EUFVfVWc4ekRfSnc
I imported the data using the "read.shapefiles" function in "shapefiles" package:
landuse<- read.shapefile("landuse")
I now need to extract the lat/long centroids of all the shapes within the landuse object and add it to the landuse$dbf dataframe
I tried two things:
lu_df<-coordinates(landuse)
lu_df<-SpatialPoints(landuse)
Both gave me the following error:
Error in coordinates(as.data.frame(obj)) :
error in evaluating the argument 'obj' in selecting a method for function 'coordinates': Error in data.frame(record = 1L, content.length = 80L, shape.type = 5L, :
arguments imply differing number of rows: 1, 4, 7
I am not sure on how to proceed.
First, I recommend using the rgdal
package for spatial data. The readOGR
and writeOGR
functions provide nice Shapefile handling (like input and output of projections etc.).
UPDATE:
Since this is not working for @Shaz (see error in comments), the maptools
function readShapePoly()
was utilized. Also see this post.
To your problem: The rgeos
package provides a function gCentroid()
which calculates the centroid of your polygons. The solution looks something like this:
setwd("/path/to/your/shapefile/")
library(maptools)
library(rgeos)
landuse <- readShapePoly("landuse")
centr <- gCentroid(landuse, byid = TRUE)
# create SpatialPointsDataFrame to export via writeOGR
# positive side effect: All data from landuse@data joined to centr@data
centr <- SpatialPointsDataFrame(centr, data= landuse@data)
writeOGR(centr, ".", "landuse_centroids", driver = "ESRI Shapefile")